Product Images Metoclopramide
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Product Label Images
The following 7 images provide visual information about the product associated with Metoclopramide NDC 60687-631 by American Health Packaging, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.
10 mg Metoclopramide Tablet Blister - 10 mg Blister
10 mg Metoclopramide Tablets Carton - 10 mg Carton
Metoclopramide is a drug that comes in a pack of 100 tablets, each containing 0.10mg of nitociopramid nysrochiords, USP oquivalent motociopramide. The usual dosage should be checked on the package insert for prescribing information. The medicine should be stored between 68-77°F, and not be exposed to temperatures of 53-86°F. The packaging contains the drug from KB 5035220, Teva Pharmaceuticals USA, Inc. The medicine should be kept away from children, and the blister should not be used if broken. The product is distributed by American Health Packaging, Columbus, Ohio 43217.*
5 mg Metoclopramide Tablet Blister - 5 mg Blister
5 mg Metoclopramide Tablets Carton - 5 mg Carton
Metoclopramide is a medicine available in tablet form with 100 tablets in a pack used with a doctor's prescription. It is identified by the National Drug Code 60687-620-01. The medication contains metoclopramide and Witociopramid nyarochloride, USP eaui. Pharmagists advise to disperse with the accompanying medication. The tablets should be stored between 10°C to 77°F. The package should be kept away from children, direct sunlight, and moisture. This particular package is of KB G035 2201 and manufactured by TEVA PHARMACEUTICALS USA, INC in Columbus, Ohio.*
AHP62001
AHP63101
Structural Formula - Structure
The given text represents a chemical formula. It includes different compounds and their molecular weight. However, without further context, its specific use or application is not available.*
* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.